Data Engineer / Data Scientist

About the job

Attention please!

• Only short NP-less than 30 days accepted, kindly pay attention to this to save your efforts, thank you for understanding

Responsibilities:

A highly skilled and motivated Data Engineer/Data Scientist with extensive experience in Python, pandas, SQL, and data analysis. Adept mapping data into a new data model, with tested code.

Thrives in independent work environments, with a proven ability to deep dive into complex datasets and deliver impactful results.

Mandatory Skills: Pandas, PostgreSQL, Python Testing

Mandatory Skills Description: Over 5 years of experience as a Data Engineer

• Proven experience bridging business needs and technical development, translating requirements into actionable solutions.

• Previous background in Technical Business Analysis is preferred and is a strong advantage.

• Expertise in Python (pandas), SQL, and Excel for exploratory analysis, reporting, and process optimization.

• Skilled in back-testing and validating solutions to ensure audit compliance and operational readiness.

• Proficient in mapping data into new data models with robust, tested code.

• Strong communication skills with the ability to produce clear documentation and stakeholder-facing presentations.

Technical Skills

• Programming: Python, pandas, NumPy, SQL

• Data Management: PostgreSQL, SQLite, CSV

• Testing: Unit Testing, Integration Testing, CI/CD Pipelines

• Tools: Git, Jupyter Notebooks

Nice-to-Have Skills Description:

- Python programming.

- Familiarity with other programming languages and frameworks.

- Knowledge of software design patterns and architectural principles.

- Exposure to other cloud platforms (AWS, GCP).

- Experience with Docker, Kubernetes, and containerised deployments.

- Relevant certifications (cloud, programming, Agile).

- Background in static reference data or payments systems.